ETD RECORD

Evolutionary training of a biologically plausible spino-neuromuscular system model

Citation

Gotshall, Stanley Phillips.. (2007). Evolutionary training of a biologically plausible spino-neuromuscular system model. Theses and Dissertations Collection, University of Idaho Library Digital Collections. https://www.lib.uidaho.edu/digital/etd/items/etd_221.html

Title:
Evolutionary training of a biologically plausible spino-neuromuscular system model
Author:
Gotshall, Stanley Phillips.
Date:
2007
Keywords:
Nervous system--Computer simulation Spine--Computer simulation Muscles--Computer simulation
Program:
Computer Science
Abstract:
There is an increasing need for researchers to develop a greater understanding of the neuromuscular system. The medical treatment of many diseases and disorders depends on physicians and practitioners having specific knowledge of how damage to certain spinal pathways can affect motor control. To that end, an important step in increasing our understanding of the spino-neuromuscular system (SNMS) is to develop a model in which researchers can conduct controlled virtual experiments within the spinal cord. This dissertation develops such a model while addressing limitations in current modeling methods of neuromuscular systems. This dissertation also shows that evolutionary algorithms train robust and stable SNMS models that yield key biological behaviors. This type of model is widely applicable in areas such as evolutionary robotics, neuroprosthetics, and modeling neuromuscular diseases since all these areas investigate the importance of specific components in biological or biologically related systems.
Description:
Thesis (Ph. D., Computer Science)--University of Idaho, August 2007.
Major Professor:
Terence Soule.
Defense Date:
August 2007.
Type:
Text
Format Original:
x, 94 leaves :ill. ;29 cm.
Format:
record

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